Plugins

Private local file attachments for DeepSeek Harness with native images and bounded document reading.

Centro de memoria y conocimiento de DeepSeek Harness que enruta llamadas de actualización, recuperación y suscripción entre plugins compatibles, con un backend opcional transaccional en Rust.

Un protocolo estructurado de estado de trabajo para los traspasos de agentes de DeepSeek Harness

Un flujo de trabajo cinematográfico de autor, local-first y con control humano, para DeepSeek Harness

Memoria de proyecto respaldada por evidencia y aprobada por humanos para DeepSeek Harness

Visión estructurada local-first para agentes solo de texto: las imágenes van a un VLM local compatible con OpenAI y vuelven como evidencia JSON (resumen, OCR literal, regiones de diseño, entidades/relaciones, colores, incertidumbre explícita), con respaldo anti-alucinación y un puente opcional de pegado/subida; coste en la nube cero, las imágenes nunca salen de la máquina.

Trae tu historial existente de Claude / ChatGPT a DSH: importación instantánea sin tokens del memories.json dentro de una exportación de Claude, transcripciones locales de Claude Code sin necesidad de exportar y conversaciones destiladas mediante el modelo que ya tengas configurado en DSH. Cada memoria lleva evidencia literal verificada contra la fuente por código: una paráfrasis se descarta y se cuenta, y la evidencia hallada solo en turnos del asistente siempre se deriva a revisión en lugar de almacenarse.

Cápsulas de evidencia de fallos, con prioridad local, para sesiones de DeepSeek Harness

Long-term memory for DeepSeek Harness, read-only as of 0.1.0: a scribe_recall tool that reads a plain-markdown memory room, path rules that refuse directory traversal, Unicode smuggling and NTFS alternate data streams, and a bounded index whose truncation is always reported rather than silent.

Local relationship-memory workbench with a confirmation gate: every AI write — extracted memories and newly created contacts alike — lands in a pending queue until the user confirms it in the GUI; materials are archived verbatim with quote-level provenance checks on AI extraction, and confirmed memories aggregate into per-contact timelines, gift occasions and reciprocity views. Ships a native relationship agent preset for conversation capture; JSON storage by default with an optional SQLite backend, zero production dependencies.

Chat agent for a DeepSeek Harness session: create characters and write their personas, keep several archive threads per character, undo or rewind the locally stored transcript, and record story beats in an event book.

Local file recall: indexes the folders you choose into one local SQLite database, so 'where did I put that file?' is one query instead of a disk walk. Caches, VCS and program folders are pruned per directory; each folder keeps its own incremental anchor, so a folder added later is backfilled in full. Read-only: it never modifies, moves or deletes your files.

dsh 插件：本地蒸馏器——扫描全部历史会话，挖出「用户纠错 → agent 改对」片段，脱敏后蒸馏成微调数据对（JSONL）、技能草稿与 AGENTS.md 规则补丁，带人工审核队列

Records scoped workflow rules and correction reminders with bounded evidence, local settings, and optional Brain Hub integration.

Project-scoped local memory with review-before-recall, source references, reversible consolidation, and a portable Cordis service; the Harness adapter provides search and settings, with optional Brain integration.

Polaris Memory: local-first project memory plugin for DeepSeek Harness. Uses per-project .dsh-memory.json; provides memory_read/recall/write/update/delete tools, /memory command and settings UI, with tiered injection (resident user profile + scene-triggered memories with P1/P2/P3 importance), semantic recall (IDF + synonym layer), and a hard-guard mechanism for bottom-line memories (detect deny-semantics -> authorize -> block AI deletion; user can confirm-override).

本地优先的 Harness 运行遥测插件：记录请求、模型、工具与插件生命周期指标（延迟、Token、成本、错误、缓存），默认不采集内容。Local-first Harness telemetry plugin for DeepSeek Harness. npm 包 dsh-local-telemetry（dsh-telemetry 名已被第三方占用）。

Approval-gated workspace instructions and memory for DeepSeek Harness

dsh-plugin: quality-first topic memory for dsh — a topic keeps the starting question, conclusion, impact and dependencies, not the process; local-first git-traced OKF bundle, budgeted LLM-free injection

Local-first control plane for managing multiple DSH runtimes, profiles, presets, sessions, plans, and knowledge references.

Local-first personal usage insights in Settings, with 1/7/30-day token heatmaps and a 30-day calendar, token composition, model mix, and skill-call status.

Adds a /dshpp slash command that reports session and token usage, cache-hit rate, and estimated cost from harness session logs; the repo also ships a CLI and local web console for lifecycle, provider, session, and plugin-security management.

Local-first DeepSeek Harness plugin marketplace with GitHub and dshfind providers